Data Scientist

• Strong decision-making skills, analytical mindset, and problem-solvingcapabilities.
• Exceptional communication and stakeholder management skills, with the abilityto explain complex models to non-technical audiences.
• Experience working within Agile development frameworks, including Scrum andKanban.
• Ability to collaborate effectively within cross-functional teams and influencedecision-making through data-driven insights.
• Proficiency in Python and/or R, with experience in machine learning frameworkssuch as TensorFlow, PyTorch, or Scikit-learn.
• Strong SQL skills for querying and transforming structured datasets.
• Experience with cloud-based AI platforms such as AWS SageMaker, Azure ML,or Google Vertex AI.
• Understanding of MLOps practices, including CI/CD for ML, automatedretraining, and model monitoring.
• Hands-on experience with big data technologies such as Spark, Databricks, orSnowflake.
• Knowledge of data governance, ethical AI principles, and regulatory compliancein machine learning applications.
• Ability to conduct exploratory data analysis (EDA) and visualise insights using BItools (Power BI, Tableau, etc.).
• Familiarity with version control systems (Git) and containerisation technologies(Docker, Kubernetes) for deploying ML models.
• Experience in mentoring junior team members and fostering a culture ofknowledge sharing.

Don’t meet every single requirement? Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification. At National Grid, we are committed to building a diverse, inclusive, and authentic workplace for everyone. So, if you’re excited about this role but your experience or qualifications don’t match the job description exactly, we encourage you to apply anyway. You might just be the right person for our growing business in this role or another one.

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